Professor Wang Xuefeng's team from Shanghai Jiao Tong University Ruijin Hospital JCLA Published based on AI of PBRTQC Latest research findings

Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital is operated by Senxu Medical
based on AI Real time quality control of patient data (PBRTQC)
National Application Demonstration Benchmarkunit
recently, Professor Wang Xuefeng's team from Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineLu Yide, Dong Danfengwaitin Journal of Clinical Laboratory Analysis (JCLA) Real time quality control based on patient data was published in the magazine (PBRTQC) The latest research findings, publish a paper "Assessment of patient based real-time quality control on comparative assays for common clinical analytes" . This study includes the use of 3 The Taiwan fully automatic biochemical analyzer is used for detection 11 Clinical Biochemistry Project. Based on Senxu Medical AI of PBRTQC Intelligent monitoring platform (AI-MA) Establish the index weighted moving average method (EWMA) There are two methods: median method and median method PBRTQC Program testing, system analysis, performance stability, Real time comparison and evaluation of quality risk monitoring and result consistency, Compare and analyze with fresh serum comparison methods.
The research results show that, use EWMA, The median method and fresh blood comparison method can both achieve similar comparative analysis performance. The results of patient big data and serum samples between instruments have good consistency, In terms of daily real-time monitoring of the consistency of results between analyzers and the accuracy of analyzer inspection results, EWMA The method has more advantages in detecting small changes in analytical performance and lower false positive alarms. Research finds PBRTQC Potential for effective evaluation of comparability among multiple analyzers, Laboratories should be based on analyzing group differences in testing items and analysis systems, establish PBRTQC Best Program.
Research proposes, International Federation of Clinical Chemistry (IFCC) Proposed by the Quality Committee of Laboratory Medicine Analysis, Real time quality control based on patient data (PBRTQC) It is a valuable supplementary quality control method, Low cost, There is no matrix effect, Continuous real-time monitoring, Advantages such as high sensitivity to errors before analysis. PBRTQC including Bull law, moving average (MA) law, Exponential weighted moving average (EWMA) Various computational techniques such as law. The research aims to establish the best testing methods for commonly used testing items PBRTQC Model and real-time comparison method, And evaluate its clinical application value in quality risk monitoring and comparability of biochemical results between instruments in daily clinical biochemistry work. Compared to fresh blood comparison methods, The results show PBRTQC EWMA The median method can be used as a real-time monitoring laboratory for the accuracy of clinical biochemical quantitative testing items, An effective tool for stability and comparability. Recommended internationally PBRTQC The suggestion of using the median method for inter laboratory result comparison is consistent, And there are innovative aspects to it.

Professor Wang Xuefeng's team is based on AI of PBRTQC Innovative research achievements

PBRTQC Best Program Establishment and Comparability Analysis Flowchart


Leader of the Laboratory Science Department at Ruijin Hospital

Professor Wang Xuefeng, Chief Physician, Ph. D. supervisor, academic leader. Current Director of the Experimental Diagnosis Center at Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Vice Dean of School of Medical Technology, Shanghai Jiao Tong University School of Medicine, Chairman of the Laboratory Branch of Shanghai Medical Association, etc, Hosted by the National Natural Science Foundation of China, Shenkang Three Year Action Plan, Multiple research projects including the Peak Plateau Discipline Plan, As the corresponding author Blood, ATVB, Science Bulletin, Haemotologica Waiting for the publication of papers in journals 100 remaining articles. Won successively "Leading Talents in Shanghai" , "First Prize of Shanghai Science and Technology Progress Award" , "Second Prize for Scientific and Technological Progress of the Ministry of Education" Waiting for multiple awards.
First author of the paper

Lu Yide, Associate Chief Technologist, Head of Clinical Chemistry Group, Department of Laboratory Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Member of the Biochemistry Group of Shanghai Medical Association. Industry standards of the Ministry of Health WS/T616-2018 One of the main drafters for automatic review of quantitative test results in clinical laboratories. In recent years, as the first author in core journals/Corresponding author has published over ten papers, Participated in multiple domestic and international academic conferences and delivered speeches.
Corresponding author of the paper

Dr. Dong Danfeng, Technical Director of Biochemistry Group, Department of Laboratory Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Massachusetts General Hospital affiliated with Harvard Medical School in the United States CCIB Two years of laboratory training, as the first author/Corresponding author published SCI More than 20 papers, Hosted the National Natural Science Foundation Youth Project, Selected by the Shanghai Municipal Science and Technology Commission "Sailing Plan" , Shanghai Municipal Health Commission Health Industry Clinical Research Special Project, "Shanghai Medical Yuan New Star Youth Talent Training Funding Program" .
Under the leadership of Director Wang Xuefeng, the Laboratory Department of Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineUsing based on AI Real time quality control intelligent monitoring platform for patient data (AI-MA) , adopt PBRTQC Quality control methods for quantitative testing of laboratory wide items, stability of analysis performance of testing systems, and consistency of test results between instruments, based on AI-MA established:

Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital General Hospital


"Innovative research and intelligent application of patient data quality control methods" live meeting

Senxu Medical is based on AI Real time quality control intelligent monitoring platform for patient data (AI-MA)





